Deep neural networks have become prevalent in human analysis, boosting the performance
of applications, such as biometric recognition, action recognition, as well as person re …

Biometric deals with the verification and identification of a person based on behavioural and
physiological traits. This article presents recent advances in physiological-based biometric …

In this work we propose Identity Consistency Transformer, a novel face forgery detection
method that focuses on high-level semantics, specifically identity information, and detecting …

Abstract We present Face Swapping GAN (FSGAN) for face swapping and reenactment.
Unlike previous work, FSGAN is subject agnostic and can be applied to pairs of faces …

Deep learning, in particular the deep convolutional neural networks, has received
increasing interests in face recognition recently, and a number of deep learning methods …

One of the main challenges in feature learning using Deep Convolutional Neural Networks
(DCNNs) for large-scale face recognition is the design of appropriate loss functions that can …

Margin-based deep face recognition methods (eg SphereFace, CosFace, and ArcFace)
have achieved remarkable success in unconstrained face recognition. However, these …

The spread of misinformation through synthetically generated yet realistic images and
videos has become a significant problem, calling for robust manipulation detection methods …

We propose a method for detecting face swapping and other identity manipulations in single
images. Face swapping methods, such as DeepFake, manipulate the face region, aiming to …

We propose real-time, six degrees of freedom (6DoF), 3D face pose estimation without face
detection or landmark localization. We observe that estimating the 6DoF rigid transformation …